Zobrazeno 1 - 10
of 3 355
pro vyhledávání: '"R Venkatesh"'
Autor:
Umesh Kumar, Supriya Sharma, Manjunath Durgappa, Nikhil Gupta, Ritu Raj, Alok Kumar, Prabhat N Sharma, V P Krishna, R Venkatesh Kumar, Anupam Guleria, Vivek A Saraswat, Gaurav Pande, Dinesh Kumar
Publikováno v:
Journal of Pharmacy and Bioallied Sciences, Vol 13, Iss 2, Pp 276-282 (2021)
Objectives: Acute-on-chronic liver failure (ACLF), which develops in patients with underlying alcoholic liver disease (ALD), is characterized by acute deterioration of liver function and organ failures are secondary to that. The clear understanding o
Externí odkaz:
https://doaj.org/article/03ecdbdf2d084f4d8a4572d7a80ad8c8
Autor:
Dhiman, Ankit, Shah, Manan, Parihar, Rishubh, Bhalgat, Yash, Boregowda, Lokesh R, Babu, R Venkatesh
We tackle the problem of generating highly realistic and plausible mirror reflections using diffusion-based generative models. We formulate this problem as an image inpainting task, allowing for more user control over the placement of mirrors during
Externí odkaz:
http://arxiv.org/abs/2409.14677
Recently, we have seen a surge of personalization methods for text-to-image (T2I) diffusion models to learn a concept using a few images. Existing approaches, when used for face personalization, suffer to achieve convincing inversion with identity pr
Externí odkaz:
http://arxiv.org/abs/2408.05083
For a given scene, humans can easily reason for the locations and pose to place objects. Designing a computational model to reason about these affordances poses a significant challenge, mirroring the intuitive reasoning abilities of humans. This work
Externí odkaz:
http://arxiv.org/abs/2407.15446
Publikováno v:
Indian Journal of Ophthalmology, Vol 71, Iss 6, Pp 2629-2629 (2023)
Background: The field of ophthalmology has been built upon continuous innovations. COVID-19 pandemic has been an important driving force behind many innovations in ophthalmology and other branches of medicine. Innovations in ophthalmology has been a
Externí odkaz:
https://doaj.org/article/68f2c39744184258ad4fc88b060839b3
Publikováno v:
Materials Research Express, Vol 10, Iss 4, p 044002 (2023)
In this study on Fe _0.05 (SnTe) _0.97 Sb _0.03 bulk alloy, we found signatures of presence of both magnetic glassy state and ferromagnetism. The bulk alloy is prepared by modified solid state technique and the sample is characterized for its structu
Externí odkaz:
https://doaj.org/article/a721985ffe1446d0afff41f6ff8f7f02
Autor:
Rangwani, Harsh, Agarwal, Aishwarya, Kulkarni, Kuldeep, Babu, R. Venkatesh, Karanam, Srikrishna
Text-to-image generation from large generative models like Stable Diffusion, DALLE-2, etc., have become a common base for various tasks due to their superior quality and extensive knowledge bases. As image composition and generation are creative proc
Externí odkaz:
http://arxiv.org/abs/2406.10197
The need for abundant labelled data in supervised Adversarial Training (AT) has prompted the use of Self-Supervised Learning (SSL) techniques with AT. However, the direct application of existing SSL methods to adversarial training has been sub-optima
Externí odkaz:
http://arxiv.org/abs/2406.05796
Autor:
Rangwani, Harsh, Mondal, Pradipto, Mishra, Mayank, Asokan, Ashish Ramayee, Babu, R. Venkatesh
Vision Transformer (ViT) has emerged as a prominent architecture for various computer vision tasks. In ViT, we divide the input image into patch tokens and process them through a stack of self attention blocks. However, unlike Convolutional Neural Ne
Externí odkaz:
http://arxiv.org/abs/2404.02900
Autor:
Parihar, Rishubh, Bhat, Abhijnya, Basu, Abhipsa, Mallick, Saswat, Kundu, Jogendra Nath, Babu, R. Venkatesh
Diffusion Models (DMs) have emerged as powerful generative models with unprecedented image generation capability. These models are widely used for data augmentation and creative applications. However, DMs reflect the biases present in the training da
Externí odkaz:
http://arxiv.org/abs/2402.18206